Top Tech Jobs & Startup Jobs in NYC, NY

Develops budgets, forecasts, financial models, variance analyses, dashboards, KPIs, and executive presentations. Partners with senior management and cross-functional teams to assess performance, evaluate acquisitions, identify trends, support strategic planning, and improve financial modeling processes through automation. Requires advanced financial analysis, scenario modeling, communication, and business-partnering skills in a global, fast-paced environment.

Owns healthcare live programs end to end, including strategy, event design, client relationships, KOL coordination, venue and vendor management, budgets, onsite execution, hybrid and virtual programs, production logistics, and results reporting. The role manages doctor dinners, advisory boards, speaker programs, roundtables, and conference-related events, traveling up to 50% and supporting major eyecare meetings.

Edit short-form video advertisements for TikTok, Instagram Reels, Facebook, and YouTube Shorts. Transform scripts and concepts into polished videos using captions, motion graphics, animation, sound design, visual effects, stock footage, and AI-generated assets. Collaborate with creative and marketing teams, optimize content for multiple platforms, monitor trends, manage multiple projects, and deliver high-quality work on schedule.

Administer, maintain, secure, and improve the NetSuite ERP platform. Responsibilities include user access management, workflows, scripts, dashboards, reports, integrations, system optimization, troubleshooting, data analysis, automation, documentation, and end-user training. The role partners closely with Finance and Accounting teams to translate business requirements into technical solutions, support implementations and upgrades, coordinate vendors, and improve financial and operational processes.

Lead architecture and implementation of autonomous inbound/outbound AI agents, build scalable LLM ops and signal-intelligence data pipelines, integrate identity resolution and third-party CRM systems, and maintain production-ready, well-documented systems for Series B diligence.

Leads a hands-on software engineering organization developing AI-enabled legal automation platforms. Responsibilities include setting technical direction, reviewing architecture and code, owning delivery and platform reliability, managing distributed teams, translating legal workflow requirements into scalable systems, and partnering with product, legal operations, executives, vendors, and clients. The role requires oversight of multi-tenant security, AI capabilities, Agile delivery, hiring, mentoring, and engineering quality.

Business Analyst providing advisory and implementation support for utility-industry clients. Responsibilities include requirements elicitation, process modeling, impact assessment, roadmapping, solution optimization, documentation, stakeholder collaboration, presentations, business development, and process transformation. The role also includes mentoring team members, supporting project planning, and traveling to client sites or industry events up to 80% of the time.

Coordinate life insurance underwriting cases from application submission through policy delivery. Gather documents, manage medical exams and carrier requirements, track workflows, and proactively communicate updates to clients, coaches, and carriers. Support policyholder service requests, maintain CRM records, coordinate onboarding, and help ensure a clear, reassuring client experience. The role is remote, initially 25–35 hours weekly, with potential for full-time growth.

Lead client implementations and integrations for fraud and compliance products. Translate technical and business requirements into scalable solutions, manage onboarding and implementation projects, own API and SDK documentation, analyze SQL queries and JSON payloads, and collaborate with clients and internal teams to deliver successful deployments. Provide product feedback and support multiple projects while managing timelines, risks, quality, and deliverables.

Analyze product, program, member, client, and operational data using advanced SQL in Databricks. Define KPIs and measurement frameworks, conduct segmentation and root-cause analysis, validate datasets, develop reporting, and translate findings into actionable recommendations. Partner with Product, Engineering, Operations, Client Success, and business leaders to improve performance and support strategic decisions.